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Курс от LearnQuest
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Advanced AI Techniques for the Supply Chain
Курс от LearnQuestО курсе
In this course, we’ll learn about more advanced machine learning methods that are used to tackle problems in the supply chain. We’ll start with an overview of the different ML paradigms (regression/classification) and where the latest models fit into these breakdowns. Then, we’ll dive deeper into some of the specific techniques and use cases such as using neural networks to predict product demand and random forests to classify products. An important part to using these models is understanding their assumptions and required preprocessing steps. We’ll end with a project incorporating advanced techniques with an image classification problem to find faulty products coming out of a machine.
Навыки, которые вы освоите
Image AnalysisComputer VisionMachine Learning MethodsApplied Machine LearningArtificial Intelligence and Machine Learning (AI/ML)Model EvaluationSupply Chain ManagementModel TrainingNatural Language ProcessingDemand PlanningSupply ChainMachine Learning AlgorithmsPredictive ModelingModel OptimizationArtificial IntelligenceMachine LearningConvolutional Neural NetworksAnomaly DetectionStatistical Machine LearningSupervised Learning
Программа курса
4 модулей · 40 учебных материалов
01Machine Learning in the Supply Chain12 материалов
From Basic to Advanced: Models you Need to Know
Course IntroВидеоModule IntroВидеоOverview of AI methodsВидеоSupervised and Unsupervised Learning TechniquesЧтениеУчитесь у экспертов
LearnQuest Network
Преподаватель курса